Wiki User
∙ 10y agoYou could use a two-tailed t-test. You would use a two-tailed test instead of a one-tailed test because you are not hypothesizing which direction the difference will be. If you hypothesize before hand the direction of change, you could use a one-tailed test.
Wiki User
∙ 10y agoStatistical estimates cannot be exact: there is a degree of uncertainty associated with any statistical estimate. A confidence interval is a range such that the estimated value belongs to the confidence interval with the stated probability.
2.4299999999999997
A statistical estimate is an estimation of population based on one or many data samples of a group. There are two types of estimates: point and interval.
Answers.com says it is: A statistical range with a specified probability that a given parameter lies within the range. I think that means, just how confident you are that your statistical analysis is correct.
Because a t-test is designed to measure the difference between means on variables that can be measured (interval data). For example, comparing the difference of height between males and females in centimetres. Qualitative studies are not interval data, but qualitative information is coded and analysed by frequencies - you are not comparing two normally distributed variables that can be measured on a continuous spectrum of measurement.
Two way ANOVA
In statistics, a significant difference is typically determined through hypothesis testing. This involves comparing the observed data with what would be expected by chance alone. If the difference between the observed data and what is expected by chance is large enough, it is considered statistically significant. This is typically determined by calculating a p-value, with a lower p-value indicating a higher level of statistical significance.
Three basic levels of measurement are nominal, ordinal, and interval/interval-ratio.
Statistical estimates cannot be exact: there is a degree of uncertainty associated with any statistical estimate. A confidence interval is a range such that the estimated value belongs to the confidence interval with the stated probability.
2.4299999999999997
interval interval
A statistical estimate is an estimation of population based on one or many data samples of a group. There are two types of estimates: point and interval.
No. The width of the confidence interval depends on the confidence level. The width of the confidence interval increases as the degree of confidence demanded from the statistical test increases.
Answers.com says it is: A statistical range with a specified probability that a given parameter lies within the range. I think that means, just how confident you are that your statistical analysis is correct.
A contour interval is the vertical distance between contour lines on a topographic map, representing the change in elevation. An index contour is a heavier contour line that is labeled with the elevation value, to help users quickly identify key elevations on the map.
The class interval for each interval is the difference between its upper limit and its lower limit.
A contour interval is the vertical distance between two contour lines on a map, representing the change in elevation. An index contour is a thicker contour line labeled with the elevation of the line above sea level, typically every fifth contour line. It helps users quickly identify elevation values on a map.